pandas-validation

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pandas-validation is a small Python library for validating data with the Python package pandas <http://pandas.pydata.org>_.

Source repository: <https://github.com/jmenglund/pandas-validation>_

Documentation at <http://pandas-validation.readthedocs.io>_

Installation

For most users, the easiest way is probably to install the latest version hosted on PyPI <https://pypi.python.org/>_:

.. code-block::

$ pip install pandas-validation

The project is hosted at https://github.com/jmenglund/pandas-validation and can also be installed using git:

.. code-block::

$ git clone https://github.com/jmenglund/pandas-validation.git
$ cd pandas-validation
$ python setup.py install

Running the tests

Testing is carried out with pytest <https://docs.pytest.org/>_:

.. code-block::

$ pytest -v test_pandasvalidation.py

Test coverage can be calculated with Coverage.py <https://coverage.readthedocs.io/>_ using the following commands:

.. code-block::

$ coverage run -m pytest
$ coverage report -m pandasvalidation.py

The code follow style conventions in PEP8 <https://www.python.org/dev/peps/pep-0008/>, which can be checked with pycodestyle <http://pycodestyle.pycqa.org>:

.. code-block::

$ pycodestyle pandasvalidation.py test_pandasvalidation.py setup.py

Building the documentation

The documentation can be built with Sphinx <http://www.sphinx-doc.org>_ and the Read the Docs Sphinx Theme <https://sphinx-rtd-theme.readthedocs.io>_:

.. code-block::

$ cd pandas-validation
$ sphinx-build -b html ./docs/source ./docs/_build/html

License

pandas-validation is distributed under the MIT license <https://opensource.org/licenses/MIT>_.

Author

Markus Englund, orcid.org/0000-0003-1688-7112 <http://orcid.org/0000-0003-1688-7112>_

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